CN111600943B - Method and equipment for acquiring target data - Google Patents
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- CN111600943B CN111600943B CN202010388167.5A CN202010388167A CN111600943B CN 111600943 B CN111600943 B CN 111600943B CN 202010388167 A CN202010388167 A CN 202010388167A CN 111600943 B CN111600943 B CN 111600943B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
- H04L67/563—Data redirection of data network streams
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
According to the method for acquiring the target data, firstly, when a preset condition is met, a physical machine sends a target data acquisition request to a storage server, the storage server receives the target data acquisition request sent by the physical machine, then the storage server sends target data to the physical machine based on the target data acquisition request, the physical machine receives the target data sent by the storage server based on the target data acquisition request, and finally the physical machine sends the target data to an established virtual machine so that the virtual machine operates based on the target data. According to the method, before the virtual machine operates, target data can be issued from the storage server to the physical machine where the virtual machine is located in advance, and data transmission pressure of network equipment and input and output of the storage server in a private cloud network is not required to be increased when the virtual machine operates, so that the private cloud computing efficiency is improved, and the method has the beneficial effects.
Description
Technical Field
The present application relates to the field of cloud computing technologies, and in particular, to a technology for acquiring target data.
Background
In private cloud computing, there are situations where multiple virtual machines in the same physical machine or different physical machines need to download the same target data at the same time. If the target data volume is large and the concurrency volume of the virtual machine is large, the data transmission can cause great pressure to the input and output of the network equipment and the storage server, so that the speed of the virtual machine for acquiring the target data is very slow.
In the private cloud system of one example shown in fig. 1, there are 4 physical machines, and a total of 10 virtual machines run on each physical machine, if each virtual machine requests to the storage server to download data simultaneously, there will be 10 network traffic connections on the switch 1 and the storage server at the same time. Meanwhile, more network traffic connections may cause bandwidth deficiency to the switch and the network ports of the storage server, so that the speed of the internal network is reduced, the time delay is increased, and larger network pressure is caused to the switch 1 and the storage server.
Disclosure of Invention
The purpose of the application is to provide a method and equipment for acquiring target data, which are used for solving the technical problem that the speed is low when the existing private cloud computing multiple virtual machines simultaneously request data.
According to one aspect of the application, a method for acquiring target data at a private cloud physical machine side is provided, wherein the method comprises the following steps:
when the preset condition is met, sending a target data acquisition request to a storage server;
receiving target data sent by the storage server based on the target data acquisition request;
and sending the target data to the created virtual machine so that the virtual machine runs based on the target data.
Preferably, the preset conditions include:
the virtual machine has been created;
the target data is not present locally.
Preferably, the method for acquiring the target data at the private cloud physical machine side further comprises the following steps:
and after the virtual machine runs based on the target data, if the target data is not used within a preset time, the target data is cleared.
According to still another aspect of the present application, there is further provided a method for obtaining target data at a private cloud storage server, where the method includes:
receiving a target data acquisition request sent by a physical machine;
and sending target data to the physical machine based on the target data acquisition request so that the physical machine sends the target data to the created virtual machine.
According to another aspect of the present application, there is also provided a private cloud physical machine device for acquiring target data, where the device includes:
the first device is used for sending a target data acquisition request to the storage server when the preset condition is met;
a second device, configured to receive target data sent by the storage server based on the target data acquisition request;
and the third device is used for sending the target data to the created virtual machine so that the virtual machine runs based on the target data.
According to still another aspect of the present application, there is also provided a private cloud storage server apparatus for acquiring target data, wherein the apparatus includes:
fourth means for receiving a target data acquisition request sent by the physical machine;
fifth means for transmitting target data to the physical machine based on the target data acquisition request.
Compared with the prior art, the method for acquiring the target data comprises the steps that firstly, when a preset condition is met, a physical machine sends a target data acquisition request to a storage server, the storage server receives the target data acquisition request sent by the physical machine, then the storage server sends the target data to the physical machine based on the target data acquisition request, the physical machine receives the target data sent by the storage server based on the target data acquisition request, and finally the physical machine sends the target data to an established virtual machine so that the virtual machine operates based on the target data. According to the method, before the virtual machine operates, target data can be issued from the storage server to the physical machine where the virtual machine is located in advance, and data transmission pressure of network equipment and input and output of the storage server in a private cloud network is not required to be increased when the virtual machine operates, so that the private cloud computing efficiency is improved, and the method has the beneficial effects.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the accompanying drawings in which:
FIG. 1 illustrates an exemplary private cloud system network traffic schematic of the prior art;
FIG. 2 shows a schematic diagram of a private cloud system architecture of the present application;
FIG. 3 illustrates a flow chart of a method for obtaining target data at a private cloud physical machine side in one aspect of the present application;
FIG. 4 illustrates a flow chart of a method for obtaining target data at a private cloud storage server side in accordance with yet another aspect of the subject application;
FIG. 5 illustrates a private cloud system network traffic schematic of one embodiment of acquiring target data in accordance with an aspect of the present application;
FIG. 6 illustrates a private cloud physical machine device schematic diagram for obtaining target data in accordance with yet another aspect of the subject application;
FIG. 7 illustrates a storage server machine schematic diagram of a further aspect of the subject application for obtaining target data;
the same or similar reference numbers in the drawings refer to the same or similar parts.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings.
In a typical configuration of the subject application, each of the system's modules and trusted parties includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer readable media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.
In order to further describe the technical means and effects adopted by the present application, the following description will be made in detail and complete with reference to the accompanying drawings and preferred embodiments.
Fig. 2 shows a schematic diagram of a private cloud system of the present application, which includes a physical machine 110, a storage server 120, a switch 130, a switch 131, and a private cloud network. The physical machine 110 is created with a plurality of virtual machines based on user demands, and is connected to a private cloud network through a switch 131, the storage server 120 is also connected to the private cloud network through a switch 130, and the physical machine 110 and the storage server 120 realize data communication through the private cloud network.
According to the service and performance requirements provided by the private cloud, there may be a plurality of physical machines 110 and storage servers 120 in different application scenarios, and each physical machine and storage server accesses the private cloud network through the switch, and realizes data communication between devices through the private cloud network.
In this application, the physical machine 110 and the storage server 120 are computer devices, including, but not limited to, a personal computer, a notebook computer, an industrial computer, a computer server, a mini-computer, a single network server, and a plurality of network server sets. The physical machines and storage servers are only examples, and other devices that may be present or may appear in the future, as applicable to the present application, are also included within the scope of the present application, which is hereby incorporated by reference.
Wherein, a plurality of virtual machines are created and operated on the physical machine 110 according to the user demand, the number of the virtual machines is determined according to the user demand, once the user demand is completed, the corresponding virtual machines are determined by the user to determine whether to delete, and if so, the resources on the physical machine 110 are released.
The storage server 120 stores various data therein, and provides data required for virtual machine operation on the physical machine 110.
Fig. 3 shows a flowchart of a method for obtaining target data at a private cloud physical machine side according to an aspect of the present application, where a method of one embodiment includes:
s31, when a preset condition is met, sending a target data acquisition request to a storage server;
s32, receiving target data sent by the storage server based on the target data acquisition request;
s33, the target data is sent to the created virtual machine, so that the virtual machine runs based on the target data.
In this embodiment, the method is performed by the physical machine 110.
In this embodiment, in the step S31, when a preset condition is satisfied, a target data acquisition request is transmitted to a storage server.
Preferably, the preset conditions include:
the virtual machine has been created;
the target data is not present locally.
Wherein, the virtual machine is created according to the user demand. For example, to do project testing on a private cloud, a number of virtual machines are created on a number of physical machines according to test cases in a test set, where each test case has a predefined number of virtual machines needed, and these virtual machines are distributed to the number of physical machines according to a predefined rule of the private cloud. Thus, the number of virtual machines created on each physical machine is determined by the predetermined rules of the private cloud and the test set to be tested. The number and allocation of virtual machines required by the test set may be determined in other manners, which are not limited herein, and other manners of determining the number and allocation of virtual machines required by the test set, as applicable to the present application, are also included in the scope of protection of the present application.
When a virtual machine is created on the physical machine 110, after the virtual machine is started, firstly acquiring the physical machine address where the virtual machine is located, attempting to copy and acquire required target data from the physical machine, and if the target data does not exist in the physical machine locally, sending a target data acquisition request to a storage server.
For example, the project test is performed on the private cloud, and the virtual machine running test set needs to obtain some test-dependent file data first, which generally includes a bin-format code package, a tool software package and an iso-format image file. The same physical machine integrates the test dependent file data of each virtual machine on the same physical machine, if the test dependent file data required by each virtual machine on the same physical machine is the same or partially the same, and the same or partially the same test dependent file data is stored on the physical machine, each virtual machine does not need to apply to a storage server any more, only the file data which does not exist locally is required to be regular as target data, and a target data acquisition request is sent to the storage server.
The more the test-dependent file data required by the operation of each virtual machine are the same, the less target data required to be acquired from a storage server are, and the more obvious the optimization effect of relieving the network flow pressure of the switch and the storage server is.
In this embodiment, in the step S32, target data transmitted by the storage server based on the target data acquisition request is received.
The storage server 120 receives the target data acquisition request, sends the target data to the physical machine 110, and the physical machine 110 receives the target data.
Continuing in this embodiment, in step S33, the target data is sent to the created virtual machine to cause the virtual machine to run based on the target data.
Wherein the virtual machine running on the physical machine 110 copies the target data and runs the virtual machine based on the target book.
Preferably, the method for acquiring the target data at the private cloud physical machine side further comprises the following steps:
and after the virtual machine runs based on the target data, if the target data is not used within a preset time, the target data is cleared.
For example, in the project test on the private cloud, if all the file data on which the virtual machine operates is not located on the physical machine 110, a request for obtaining the target data is sent to the storage server, all the test-dependent file data is stored locally after the target data is received, and each virtual machine copies the required test-dependent file data and operates based on the test-dependent file data. And after the virtual machine runs based on the target data, if the virtual machine or other application newly created on the physical machine does not use the test-dependent file data within the preset time, the test-dependent file data is cleared so as to release the storage resources of the physical machine.
Fig. 4 shows a flowchart of a method for obtaining target data at a private cloud storage server according to a further aspect of the present application, where the method includes:
s41, receiving a target data acquisition request sent by a physical machine;
s42, sending target data to the physical machine based on the target data acquisition request so that the physical machine sends the target data to the created virtual machine.
The method is performed by the storage server 120.
In the step S41, a target data acquisition request sent by the physical machine is received. Wherein the target data acquisition request is sent by the physical machine 110 to the storage server 120 when a preset condition is satisfied.
In the step S42, target data is transmitted to the physical machine based on the target data acquisition request, so that the physical machine transmits the target data to the created virtual machine.
Wherein the storage server 120 receives the target data acquisition request, and sends the target data to the physical machine 110, and the physical machine 110 receives the target data, and the virtual machine created thereon operates based on the target data.
Fig. 5 is a schematic diagram of a private cloud system optimized network traffic for obtaining target data according to an embodiment of an aspect of the present application, which corresponds to the example shown in fig. 1. In the private cloud system, the more virtual machines are created on a single physical machine, the more obvious the network flow optimization effect is on the network ports of the storage server and the switches connected with the network ports by adopting the technical scheme.
Fig. 6 shows a schematic diagram of a private cloud physical machine device for obtaining target data according to still another aspect of the present application, where the device includes:
a first means 61 for sending a target data acquisition request to the storage server when a preset condition is satisfied;
second means 62 for receiving target data sent by the storage server based on the target data acquisition request;
and third means 63 for sending the target data to the created virtual machine, so that the virtual machine runs based on the target data.
Fig. 7 shows a schematic diagram of a storage server machine device for obtaining target data according to yet another aspect of the present application, where the device includes:
fourth means 71 for receiving a target data acquisition request sent by the physical machine;
fifth means 72 for transmitting target data to the physical machine based on the target data acquisition request.
According to yet another aspect of the present application, there is also provided a computer readable medium storing computer readable instructions executable by a processor to implement the foregoing method.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the apparatus claims can also be implemented by means of one unit or means in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Claims (7)
1. The method for acquiring the target data at the private cloud physical machine side is characterized by comprising the following steps:
the method comprises the steps that test dependent file data of each virtual machine on the same physical machine are integrated, if the test dependent file data required by each virtual machine on the same physical machine are identical or partially identical, and the identical or partially identical test dependent file data are stored on the physical machine, each virtual machine does not need to apply to a storage server any more, only file data which do not exist locally are required to be regular as target data, and when preset conditions are met, a target data acquisition request is sent to the storage server based on one network flow connection established between the physical machine and a private cloud storage server;
receiving target data sent by the storage server based on the target data acquisition request;
and sending the target data to the created virtual machine so that the virtual machine runs based on the target data.
2. The method of claim 1, wherein the preset conditions include:
the virtual machine has been created;
the target data is not present locally.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
and after the virtual machine runs based on the target data, if the target data is not used within a preset time, the target data is cleared.
4. A method for obtaining target data at a private cloud storage server, the method comprising:
based on a network flow connection established between a private cloud physical machine and the storage server, receiving a target data acquisition request sent by the physical machine, wherein the same physical machine integrates test dependent file data of each virtual machine on the same physical machine, and if the test dependent file data required by each virtual machine on the same physical machine is the same or partially the same, and the same or partially the same test dependent file data is stored on the physical machine, each virtual machine does not need to apply to the storage server any more, and only the file data which does not exist locally is required to be the target data;
and sending target data to the physical machine based on the target data acquisition request so that the physical machine sends the target data to the created virtual machine.
5. A private cloud physical machine device for obtaining target data, the device comprising:
the first device is used for integrating test-dependent file data of each virtual machine on the same physical machine, if the test-dependent file data required by each virtual machine on the same physical machine are the same or partially the same, and the same or partially the same test-dependent file data are stored on the physical machine, each virtual machine does not need to apply to a storage server any more, only the file data which do not exist locally are required to be regular as target data, and when preset conditions are met, a target data acquisition request is sent to the storage server based on one network flow connection established between the physical machine and a private cloud storage server;
a second device, configured to receive target data sent by the storage server based on the target data acquisition request;
and the third device is used for sending the target data to the created virtual machine so that the virtual machine runs based on the target data.
6. A private cloud storage server apparatus for obtaining target data, the apparatus comprising:
the fourth device is configured to receive a target data acquisition request sent by a physical machine based on a network traffic connection established between a private cloud physical machine and the storage server, where the same physical machine integrates test-dependent file data of each virtual machine on the private cloud physical machine, and if the test-dependent file data required by each virtual machine on the same physical machine is the same or partially the same, and the same or partially the same test-dependent file data is already stored on the physical machine, each virtual machine does not need to apply to the storage server any more, and only the file data that does not exist locally is required to be the target data;
fifth means for transmitting target data to the physical machine based on the target data acquisition request.
7. A computer-readable medium comprising,
having stored thereon computer readable instructions executable by a processor to implement the method of any of claims 1 to 4.
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